




'''simple docstring'''




import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
					from cookiecutter.main import cookiecutter

					lowercase__  							=					True
except ImportError:
					lowercase__  							=					False

lowercase__  							=					logging.get_logger(__name__)  # pylint: disable=invalid-name
def      __snake_case       (   lowercase   :							Namespace  ):
					return AddNewModelCommand(args.testing			, args.testing_file			, path=args.path  )






class      UpperCAmelCase_     (  __A     ):


	"""simple docstring"""


	@staticmethod
	def  _lowercase    (						UpperCAmelCase_				):
						snake_case_	=      parser.add_parser("add-new-model"				)
						add_new_model_parser.add_argument("--testing"						, action="store_true"						, help="If in testing mode."				)
						add_new_model_parser.add_argument("--testing_file"						, type=UpperCamelCase__						, help="Configuration file on which to run."				)
						add_new_model_parser.add_argument(
						    "--path"						, type=UpperCamelCase__						, help="Path to cookiecutter. Should only be used for testing purposes."				)
						add_new_model_parser.set_defaults(func=UpperCamelCase__				)







	def __init__(						self						, UpperCAmelCase_						, UpperCAmelCase_						, UpperCAmelCase_=None						, *UpperCAmelCase_				):
						snake_case_	=      testing
						snake_case_	=      testing_file
						snake_case_	=      path







	def  _lowercase    (						self				):
						warnings.warn(
						    "The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. "
						    "It is not actively maintained anymore, so might give a result that won\'t pass all tests and quality "
						    "checks, you should use `transformers-cli add-new-model-like` instead."				)
						if not _has_cookiecutter:
											raise ImportError(
											    "Model creation dependencies are required to use the `add_new_model` command. Install them by running "
											    "the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n"				)
						# Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
						snake_case_	=      [directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
						if len(UpperCamelCase__				) > 0:
											raise ValueError(
											    "Several directories starting with `cookiecutter-template-` in current working directory. "
											    "Please clean your directory by removing all folders starting with `cookiecutter-template-` or "
											    "change your working directory."				)

						snake_case_	=      (
						    Path(UpperCamelCase__				).parent.parent.parent.parent if self._path is None else Path(self._path				).parent.parent
						)
						snake_case_	=      path_to_transformer_root / "templates" / "adding_a_new_model"

						# Execute cookiecutter
						if not self._testing:
											cookiecutter(str(UpperCamelCase__				)				)
						else:
											with open(self._testing_file						, "r"				) as configuration_file:
																snake_case_	=      json.load(UpperCamelCase__				)

											cookiecutter(
											    str(path_to_cookiecutter if self._path is None else self._path				)						, no_input=UpperCamelCase__						, extra_context=UpperCamelCase__						, )

						snake_case_	=      [directory for directory in os.listdir() if "cookiecutter-template-" in directory[:22]][0]

						# Retrieve configuration
						with open(directory + "/configuration.json"						, "r"				) as configuration_file:
											snake_case_	=      json.load(UpperCamelCase__				)

						snake_case_	=      configuration["lowercase_modelname"]
						snake_case_	=      configuration["generate_tensorflow_pytorch_and_flax"]
						os.remove(f'''{directory}/configuration.json'''				)

						snake_case_	=      "PyTorch" in generate_tensorflow_pytorch_and_flax
						snake_case_	=      "TensorFlow" in generate_tensorflow_pytorch_and_flax
						snake_case_	=      "Flax" in generate_tensorflow_pytorch_and_flax

						snake_case_	=      f'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
						os.makedirs(UpperCamelCase__						, exist_ok=UpperCamelCase__				)
						os.makedirs(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''						, exist_ok=UpperCamelCase__				)

						# Tests require submodules as they have parent imports
						with open(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py'''						, "w"				):
											pass

						shutil.move(
						    f'''{directory}/__init__.py'''						, f'''{model_dir}/__init__.py'''						, )
						shutil.move(
						    f'''{directory}/configuration_{lowercase_model_name}.py'''						, f'''{model_dir}/configuration_{lowercase_model_name}.py'''						, )

						def remove_copy_lines(UpperCAmelCase_				):
											with open(UpperCamelCase__						, "r"				) as f:
																snake_case_	=      f.readlines()
											with open(UpperCamelCase__						, "w"				) as f:
																for line in lines:
																					if "# Copied from transformers." not in line:
																										f.write(UpperCamelCase__				)

						if output_pytorch:
											if not self._testing:
																remove_copy_lines(f'''{directory}/modeling_{lowercase_model_name}.py'''				)

											shutil.move(
											    f'''{directory}/modeling_{lowercase_model_name}.py'''						, f'''{model_dir}/modeling_{lowercase_model_name}.py'''						, )

											shutil.move(
											    f'''{directory}/test_modeling_{lowercase_model_name}.py'''						, f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py'''						, )
						else:
											os.remove(f'''{directory}/modeling_{lowercase_model_name}.py'''				)
											os.remove(f'''{directory}/test_modeling_{lowercase_model_name}.py'''				)

						if output_tensorflow:
											if not self._testing:
																remove_copy_lines(f'''{directory}/modeling_tf_{lowercase_model_name}.py'''				)

											shutil.move(
											    f'''{directory}/modeling_tf_{lowercase_model_name}.py'''						, f'''{model_dir}/modeling_tf_{lowercase_model_name}.py'''						, )

											shutil.move(
											    f'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''						, f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py'''						, )
						else:
											os.remove(f'''{directory}/modeling_tf_{lowercase_model_name}.py'''				)
											os.remove(f'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''				)

						if output_flax:
											if not self._testing:
																remove_copy_lines(f'''{directory}/modeling_flax_{lowercase_model_name}.py'''				)

											shutil.move(
											    f'''{directory}/modeling_flax_{lowercase_model_name}.py'''						, f'''{model_dir}/modeling_flax_{lowercase_model_name}.py'''						, )

											shutil.move(
											    f'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''						, f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py'''						, )
						else:
											os.remove(f'''{directory}/modeling_flax_{lowercase_model_name}.py'''				)
											os.remove(f'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''				)

						shutil.move(
						    f'''{directory}/{lowercase_model_name}.md'''						, f'''{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md'''						, )

						shutil.move(
						    f'''{directory}/tokenization_{lowercase_model_name}.py'''						, f'''{model_dir}/tokenization_{lowercase_model_name}.py'''						, )

						shutil.move(
						    f'''{directory}/tokenization_fast_{lowercase_model_name}.py'''						, f'''{model_dir}/tokenization_{lowercase_model_name}_fast.py'''						, )

						from os import fdopen, remove
						from shutil import copymode, move
						from tempfile import mkstemp

						def replace(UpperCAmelCase_						, UpperCAmelCase_						, UpperCAmelCase_				):
											# Create temp file
											snake_case_	,					snake_case_	=      mkstemp()
											snake_case_	=      False
											with fdopen(UpperCamelCase__						, "w"				) as new_file:
																with open(UpperCamelCase__				) as old_file:
																					for line in old_file:
																										new_file.write(UpperCamelCase__				)
																										if line_to_copy_below in line:
																															snake_case_	=      True
																															for line_to_copy in lines_to_copy:
																																				new_file.write(UpperCamelCase__				)

											if not line_found:
																raise ValueError(f'''Line {line_to_copy_below} was not found in file.'''				)

											# Copy the file permissions from the old file to the new file
											copymode(UpperCamelCase__						, UpperCamelCase__				)
											# Remove original file
											remove(UpperCamelCase__				)
											# Move new file
											move(UpperCamelCase__						, UpperCamelCase__				)

						def skip_units(UpperCAmelCase_				):
											return (
											    ("generating PyTorch" in line and not output_pytorch)
											    or ("generating TensorFlow" in line and not output_tensorflow)
											    or ("generating Flax" in line and not output_flax)
											)

						def replace_in_files(UpperCAmelCase_				):
											with open(UpperCamelCase__				) as datafile:
																snake_case_	=      []
																snake_case_	=      False
																snake_case_	=      False
																for line in datafile:
																					if "# To replace in: " in line and "##" not in line:
																										snake_case_	=      line.split("\""				)[1]
																										snake_case_	=      skip_units(UpperCamelCase__				)
																					elif "# Below: " in line and "##" not in line:
																										snake_case_	=      line.split("\""				)[1]
																										snake_case_	=      skip_units(UpperCamelCase__				)
																					elif "# End." in line and "##" not in line:
																										if not skip_file and not skip_snippet:
																															replace(UpperCamelCase__						, UpperCamelCase__						, UpperCamelCase__				)

																										snake_case_	=      []
																					elif "# Replace with" in line and "##" not in line:
																										snake_case_	=      []
																					elif "##" not in line:
																										lines_to_copy.append(UpperCamelCase__				)

											remove(UpperCamelCase__				)

						replace_in_files(f'''{directory}/to_replace_{lowercase_model_name}.py'''				)
						os.rmdir(UpperCamelCase__				)













'''simple docstring'''







from math import isqrt, loga


def       __UpperCamelCase					(      lowercase_       :  int   ):
       """simple docstring"""




       a_						     =			[True] * max_number
       for i in range(2   ,       isqrt(max_number - 1   ) + 1   ):
              if is_prime[i]:
                     for j in range(i**2   ,       lowercase_   ,       lowercase_   ):
                            a_						     =			False

       return [i for i in range(2   ,       lowercase_   ) if is_prime[i]]


def       __UpperCamelCase					(      lowercase_       :  int = 800_800   ,       lowercase_       :  int = 800_800   ):
       """simple docstring"""




       a_						     =			degree * loga(lowercase_   )
       a_						     =			int(lowercase_   )
       a_						     =			calculate_prime_numbers(lowercase_   )

       a_						     =			0
       a_						     =			0
       a_						     =			len(lowercase_   ) - 1
       while left < right:
              while (
                  prime_numbers[right] * loga(prime_numbers[left]   )
                  + prime_numbers[left] * loga(prime_numbers[right]   )
                  > upper_bound
              ):
                     right -= 1
              hybrid_integers_count += right - left
              left += 1

       return hybrid_integers_count


if __name__ == "__main__":
  print(f"""{solution() = }""")




